Classification Libraries

116 Components & Libraries

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Classification Libraries

A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.

You can run Inference on an edge device like an NVIDIA Jetson, or on cloud computing platforms like AWS, GCP, and Azure. Currently, the stream interface only supports object detection Check out Infer…

Easiest way of fine-tuning HuggingFace video classification models

and supports: Tensorboard tracker is enabled by default. To add Neptune/Layer ... tracking: Before opening a PR:

The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.

Does one of these scenarios sounds familiar to you? If so, you are one of the people we've built refinery for. refinery helps you to build better NLP models in a data-centric approach. Semi-automate …

FastDup is a tool for gaining insights from a large image collection. It can find anomalies, duplicate and near duplicate images, clusters of similaritity, learn the normal behavior and temporal interactions between images. It can be used for smart subsampling of a higher quality dataset, outlier removal, novelty detection of new information to be sent for tagging. FastDup scales to millions of images running on CPU only.

FastDup is a tool for gaining insights from a large image collection. It can find anomalies, duplicate and near duplicate images, clusters of similarity, learn the normal behavior and temporal intera…

fastdup is a powerful free tool designed to rapidly extract valuable insights from your image & video datasets. Assisting you to increase your dataset images & labels quality and reduce your data operations costs at an unparalleled scale.

🚀 Introducing VL Profiler! 🚀 We're excited to announce our new cloud product, VL Profiler. It's designed to help you gain deeper insights and enhance your productivity while using fastdup. With VL P…

CLI-based tool to automatically build ML models from training data into a servable Docker container

With this beginner-friendly CLI tool, you can create containerized machine learning models from your labeled texts in minutes. With this tool you can: First, you can clone this repository to your loc…

NucliaDB, The vector database optimized for documents and video search

NucliaDB is a robust database that allows storing and searching on unstructured data. It is an out of the box hybrid search database, utilizing vector, full text and graph indexes. NucliaDB is writte…

Time Series Data Beans: a Python toolbox loads 169 public time-series datasets for machine learning/deep learning with a single line of code.

🤝 If you need TSDB to integrate an open-source dataset or want to add it into TSDB yourself, please feel free to request for it by creating an issue or make a PR to merge your code. or install via P…

A Python toolbox/library for reality-centric machine learning/deep learning on partially-observed time series with PyTorch, including SOTA neural network models supporting tasks of imputation, classification, clustering, and forecasting on incomplete (irregularly-sampled) multivariate time series with NaN missing values/data.

At PyPOTS, things are related to coffee, which we're familiar with. Yes, this is a coffee universe! As you can see, there is a coffee pot in the PyPOTS logo. And what else? Please read on ;-) ☕️ Welc…

Deep-Learning-Image-Classification-Models-Based-CNN-or-Attention

This project organizes classic images classification neural networks based on convolution or attention, and writes training and inference python scripts

This project organizes classic Neural Networks based convolution or attention mechanism, in order to solve image classification. This readme is introduced in Chinese (including most of the comments i…

Image-Classification-App-with-Custom-TensorFlow-Model

Learn how to code your own neural network in Python, then deploy it in an Image Classification App using TensorFlow Lite.

Learn how to code your own neural network in Python, then deploy it in an Image Classification App using TensorFlow Lite. We'll code a Convolutional Neural Network (CNN) model with TensorFlow, then d…

The official code repo of "HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection"

Install the 'SOX' and the 'ffmpeg', we recommend that you run this code in Linux inside the Conda environment. In that, you can install them by: For the most important part: If you want to train/test…

To detect any reasonable change in a live cctv to avoid large storage of data. Once, we notice a change, our goal would be track that object or person causing it. We would be using Computer vision concepts. Our major focus will be on Deep Learning and will try to add as many features in the process.

To detect any reasonable change in a live cctv to avoid large storage of data. Once, we notice a change, our goal would be track that object or person causing it. We would be using Computer vision co…

Get started with Machine Learning with Python - An introduction with Python programming examples

There are two options. Note: On each of those options, you'll find: No installations needed. Note: On each notebook, click on "Open in Colab", in order to open it on Google Colab Worried about whethe…

✨ Argilla: Open-source platform to build better language models through human feedback

Argilla Client: a powerful Python library for reading and writing data into Argilla, using all the libraries you love (transformers, spaCy, datasets, and any other). Argilla Server and UI: the API an…

✨ Rubrix, open-source framework for data-centric NLP. Data annotation and monitoring for enterprise NLP

Why Rubrix? Interactive weak supervision. Building a news classifier with user search queries: Getting started with Rubrix is as easy as: Then simply run: After a few iterations of data annotation, w…

OCR, extract and classify documents. In addition, annotate documents and build your own NLP and Computer Vision models using Python by downloading the data. Find examples in our Colab Notebooks, e. g. how to fine-tune Flair.

The SDK allows you to retrieve visual and text features to build your own document models. Konfuzio Server serves as an UI to define the data structure, manage training/test data and to deploy your m…

Text Classification in Turkish Texts with Bert

Goal= Correctly guessing the classification of texts and audios It is a text classification task implementation transformers (by HuggingFace) with BERT. It contains several parts: --Data pre-processi…

Towards-Explainable-AI-System-for-Traffic-Sign-Recognition-and-Deployment-in-a-Simulated-Environment

This project is part of the CS course 'Systems Engineering Meets Life Sciences I' at Goethe University Frankfurt. In this Computer Vision project, we present our first attempt at tackling the problem of traffic sign recognition using a systems engineering approach.

Recent advances in Machine Learning are pushing the boundaries of real world AI applicationsand are becoming more and more integrated in our daily lives. As researchadvances, the long-term goal of au…

Face recognition and analytics library based on deep neural networks and ONNX runtime

C# interface

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

Obsei is a low code AI powered automation tool. It can be used in various business flows like social listening, AI based alerting, brand image analysis, comparative study and more .

All the Observers can store their state in databases (Sqlite, Postgres, MySQL, etc.), making Obsei suitable for scheduled jobs or serverless applications. Install the following (if not present alread…

Basic text analytics and natural language processing in Python

Basic computational linguistics and natural language processing in Python. This package provides code to support introductory courses in computational linguistics or natural language processing. Thes…

Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.

Code repository for the online course Machine Learning with Imbalanced Data

Published November, 2020 Actively maintained.

Computer Vision Essentials in Python Programming Language :tada:

Computer vision is an interdisciplinary scientific field that deals with how computers can gain high-level understanding from digital images or videos. From the perspective of engineering, it seeks t…

Computer Vision Essentials in Python Programming Language :tada:

Measure and visualize machine learning model performance without the usual boilerplate.

Measure, visualize, and compare machine learning model performance without the usual boilerplate. Breaking API improvements to be expected. Or, for the latest unreleased version:

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